pipeline

I'm trying to apply Spacy NLP (Natural Language Processing) pipline to a big text file like Wikipedia Dump. Here is my code based on Spacy's documentation example: from spacy.en import English input = open("big_file.txt") big_text= input.read() input.close() nlp= English() out = nlp.pipe([unicode(big_text, errors='ignore')], n_threads=-1) doc = out.next() Spacy applies all nlp operations like POS tagging, Lemmatizing and etc all at once. It is like a pipeline for NLP that takes care of everything you need in one step. Applying pipe method tho is supposed to make the process a lot faster by

I am trying to create a custom transformer for a Python sklearn pipeline based on guidance from this tutorial: http://danielhnyk.cz/creating-your-own-estimator-scikit-learn/ Right now my custom class/transformer looks like this: class SelectBestPercFeats(BaseEstimator, TransformerMixin): def __init__(self, model=RandomForestRegressor(), percent=0.8, random_state=52): self.model = model self.percent = percent self.random_state = random_state def fit(self, X, y, **fit_params): """ Find features with best predictive power for the model, and have cumulative importance value less than self.percent

Can anyone provide me the shader that are similar to the Fixed function Pipeline? I need the Fragment shader default the most, because I found a similar vertex shader online. But if you have a pair that should be fine! I want to use fixed pipeline, but have the flexability of shaders, so I need similar shaders so I'll be able to mimic the functionality of the fixed pipeline. Thank you very much! I'm new here so if you need more information tell me:D This is what I would like to replicate: (texture unit 0) functionality of glTranslatef functionality of glColor4f functionality of glTexCoord2f

I currently have following script that helps to find the best model for a doc2vec model. It works like this: First train a few models based on given parameters and then test against a classifier. Finally, it outputs the best model and classifier (I hope). Data Example data (data.csv) can be downloaded here: https://pastebin.com/takYp6T8 Note that the data has a structure that should make an ideal classifier with 1.0 accuracy. Script import sys import os from time import time from operator import itemgetter import pickle import pandas as pd import numpy as np from argparse import ArgumentParser

I am writing a bash function to get all git repositories, but I have met a problem when I want to store all the git repository pathnames to the array patharray . Here is the code: gitrepo() { local opt declare -a patharray locate -b '\.git' | \ while read pathname do pathname="$(dirname ${pathname})" if [[ "${pathname}" != *.* ]]; then # Note: how to add an element to an existing Bash Array patharray=("${patharray[@]}" '\n' "${pathname}") # echo -e ${patharray[@]} fi done echo -e ${patharray[@]} } I want to save all the repository paths to the patharray array, but I can't get it outside the

SOLVED: The following are the simplest possible examples of functions/scripts that use piped input. Each behaves the same as piping to the "echo" cmdlet. As functions: Function Echo-Pipe { Begin { # Executes once before first item in pipeline is processed } Process { # Executes once for each pipeline object echo $_ } End { # Executes once after last pipeline object is processed } } Function Echo-Pipe2 { foreach ($i in $input) { $i } } As Scripts: # Echo-Pipe.ps1 Begin { # Executes once before first item in pipeline is processed } Process { # Executes once for each pipeline object echo $_ } End

Bash: I want to run a command and pipe the results through some filter, but if the command fails, I want to return the command's error value, not the boring return value of the filter: E.g.: if !(cool_command | output_filter); then handle_the_error; fi Or: set -e cool_command | output_filter In either case it's the return value of cool_command that I care about -- for the 'if' condition in the first case, or to exit the script in the second case. Is there some clean idiom for doing this? Use the PIPESTATUS builtin variable. From man bash : PIPESTATUS An array variable (see Arrays below)

I've grown fond of using a generator-like pattern between functions in my shell scripts. Something like this: parse_commands /da/cmd/file | process_commands However, the basic problem with this pattern is that if parse_command encounters an error, the only way I have found to notify process_command that it failed is by explicitly telling it (e.g. echo "FILE_NOT_FOUND"). This means that every potentially faulting operation in parse_command would have to be fenced. Is there no way process_command can detect that the left side exited with a non-zero exit code? David W. Does the pipe process